Machine Learning
A comprehensive 4-week intensive program designed to equip students with hands-on machine learning skills, from fundamental algorithms to advanced model deployment techniques.
Duration: 4 weeks intensive programLevel: Beginner to Advanced
What You’ll Learn
Core machine learning algorithms and techniques
Supervised and unsupervised learning approaches
Real-world dataset analysis and model building
Feature engineering and data preprocessing
Model evaluation and optimization strategies
Hands-on projects with industry-standard tools
Course Curriculum
Module 1: Week 1: Introduction to Machine Learning
- Overview of Machine Learning
- Types of Machine Learning
- Python for Machine Learning
- Data Preprocessing Techniques
Module 2: Week 2: Supervised Learning
- Linear Regression
- Logistic Regression
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
Module 3: Week 3: Unsupervised Learning
- Clustering Algorithms (K-Means, Hierarchical)
- Dimensionality Reduction (PCA, t-SNE)
- Anomaly Detection
- Association Rule Learning
Module 4: Week 4: Advanced Topics and Model Deployment
- Ensemble Methods
- Model Evaluation and Tuning
- Introduction to Deep Learning
- Model Deployment Basics